数据分析

数据分析课程介绍管理和分析大规模数据的方法。您将学习数据挖掘、大数据应用以及数据产品开发,成为一名数据科学家。

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Excel Skills for Business
Macquarie University
Excel Skills for Business
SPECIALIZATION
Introduction to Data Science
IBM
Introduction to Data Science
SPECIALIZATION
Applied Data Science with Python
University of Michigan
Applied Data Science with Python
SPECIALIZATION
Data Science
Johns Hopkins University
Data Science
SPECIALIZATION
Data Science: Foundations using R
Johns Hopkins University
Data Science: Foundations using R
SPECIALIZATION
数据结构与算法
University of California San Diego
数据结构与算法
SPECIALIZATION
Learn SQL Basics for Data Science
University of California, Davis
Learn SQL Basics for Data Science
SPECIALIZATION
从 Excel 到 MySQL:商业分析技术
Duke University
从 Excel 到 MySQL:商业分析技术
SPECIALIZATION
Advanced Business Analytics
University of Colorado Boulder
Advanced Business Analytics
SPECIALIZATION
Big Data
University of California San Diego
Big Data
SPECIALIZATION
商业分析
University of Pennsylvania
商业分析
SPECIALIZATION
Search Engine Optimization (SEO)
University of California, Davis
Search Engine Optimization (SEO)
SPECIALIZATION
Data Analysis and Presentation Skills: the PwC Approach
PwC
Data Analysis and Presentation Skills: the PwC Approach
SPECIALIZATION
AI Foundations for Everyone
IBM
AI Foundations for Everyone
SPECIALIZATION
Statistics with R
Duke University
Statistics with R
SPECIALIZATION
Data Visualization with Tableau
University of California, Davis
Data Visualization with Tableau
SPECIALIZATION
Geographic Information Systems  (GIS)
University of California, Davis
Geographic Information Systems (GIS)
SPECIALIZATION
Advanced Data Science with IBM
IBM
Advanced Data Science with IBM
SPECIALIZATION
Introduction to Scripting in Python
Rice University
Introduction to Scripting in Python
SPECIALIZATION

    關於 数据分析 的常見問題

  • Data analysis is the process of applying statistical analysis and logical techniques to extract information from data. When carried out carefully and systematically, the results of data analysis can be an invaluable complement to qualitative research in producing actionable insights for decision-making.

    If that sounds a lot like data science, you’re right! It’s a closely related field, but there are important differences. Data scientists typically come from computer science and programming backgrounds and rely on coding skills to build algorithms and analytic models to automate the processing of data at scale. Data analysts typically have backgrounds in mathematics and statistics, and frequently apply these analytic techniques to answer specific business problems - for example, a financial analyst at an investment bank.